Designers of distributed embedded systems face many challenges in determining the appropriate tradeoffs to make when defining a system architecture or retargeting an existing desi...
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
A variety of hybrid genetic algorithms has been recently proposed to address the vehicle routing problem with time windows (VRPTW), a problem known to be NP-hard. However, very few...
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
This paper reports on an empirical evaluation of the fault-detecting ability of two white-box software testing techniques: decision coverage (branch testing) and the all-uses data...